Dear list
Can we calculate the spearman correlation between 4 binary variables coded in 0 and 1 rather than the chi 2 test ? Wich is better ? Thanks M. Iheb BOUGMIZA Adresse: 90, Rue de l'Ourcq, Bat B. 75019 Paris Tél : 06 98 82 36 53 Mailto: [hidden email] --------------------------------- Yahoo! Mail réinvente le mail ! Découvrez le nouveau Yahoo! Mail et son interface révolutionnaire. |
Spearmna is not a good idea with dichotomous data. It is a rank oreder statistics and with 0,1 vars you have too many ties. Phi would be better. or Kendall's tau.
Paul R. Swank, Ph.D. Professor, Developmental Pediatrics Director of Research, Center for Improving the Readiness of Children for Learning and Education (C.I.R.C.L.E.) Medical School UT Health Science Center at Houston -----Original Message----- From: SPSSX(r) Discussion [mailto:[hidden email]] On Behalf Of iheb bougmiza Sent: Thursday, June 22, 2006 9:31 AM To: [hidden email] Subject: Spearman correlation Dear list Can we calculate the spearman correlation between 4 binary variables coded in 0 and 1 rather than the chi 2 test ? Wich is better ? Thanks M. Iheb BOUGMIZA Adresse: 90, Rue de l'Ourcq, Bat B. 75019 Paris Tél : 06 98 82 36 53 Mailto: [hidden email] --------------------------------- Yahoo! Mail réinvente le mail ! Découvrez le nouveau Yahoo! Mail et son interface révolutionnaire. |
In reply to this post by iheb bougmiza
Rather than the Spearmann (ordinal) correlation, it is more appropriate to
apply the Pearson (linear) correlation, which is itself closely related to chi square. The Pearson correlation for two binary variables is equivalent to the phi coefficient, which is itself defined as chi square divided as the square root of (X2/n) where X2 stands for chi square, and n is sample size. Notice also that the percentage difference for one variable between values of the other variable equals the corresponding regression coefficients. For instance, if X=sex (0=male, 1=female) and Y=some Yes-No question, and the Yes percentage is 50% for men and 80% for women, the regression equation would be Yes=0.50 + 0.30(Sex). Hector -----Mensaje original----- De: SPSSX(r) Discussion [mailto:[hidden email]] En nombre de iheb bougmiza Enviado el: Thursday, June 22, 2006 11:31 AM Para: [hidden email] Asunto: Spearman correlation Dear list Can we calculate the spearman correlation between 4 binary variables coded in 0 and 1 rather than the chi 2 test ? Wich is better ? Thanks M. Iheb BOUGMIZA Adresse: 90, Rue de l'Ourcq, Bat B. 75019 Paris Tél : 06 98 82 36 53 Mailto: [hidden email] --------------------------------- Yahoo! Mail réinvente le mail ! Découvrez le nouveau Yahoo! Mail et son interface révolutionnaire. |
In reply to this post by iheb bougmiza
HI,
For binary variables, Spearmann and Pearson correlation are always equal, so it is up to you what to use. Greetings Jan -----Original Message----- From: SPSSX(r) Discussion [mailto:[hidden email]] On Behalf Of Hector Maletta Sent: Thursday, June 22, 2006 5:56 PM To: [hidden email] Subject: Re: Spearman correlation Rather than the Spearmann (ordinal) correlation, it is more appropriate to apply the Pearson (linear) correlation, which is itself closely related to chi square. The Pearson correlation for two binary variables is equivalent to the phi coefficient, which is itself defined as chi square divided as the square root of (X2/n) where X2 stands for chi square, and n is sample size. Notice also that the percentage difference for one variable between values of the other variable equals the corresponding regression coefficients. For instance, if X=sex (0=male, 1=female) and Y=some Yes-No question, and the Yes percentage is 50% for men and 80% for women, the regression equation would be Yes=0.50 + 0.30(Sex). Hector -----Mensaje original----- De: SPSSX(r) Discussion [mailto:[hidden email]] En nombre de iheb bougmiza Enviado el: Thursday, June 22, 2006 11:31 AM Para: [hidden email] Asunto: Spearman correlation Dear list Can we calculate the spearman correlation between 4 binary variables coded in 0 and 1 rather than the chi 2 test ? Wich is better ? Thanks M. Iheb BOUGMIZA Adresse: 90, Rue de l'Ourcq, Bat B. 75019 Paris Tél : 06 98 82 36 53 Mailto: [hidden email] --------------------------------- Yahoo! Mail réinvente le mail ! Découvrez le nouveau Yahoo! Mail et son interface révolutionnaire. |
Free forum by Nabble | Edit this page |